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Haoyu Han 韩浩宇 [CV] [Github]
PhD Student in CSE, Michigan State University
Email: hanhaoy1@msu.edu
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Short Bio
I am a Ph.D. student in DSE lab. My advisor is Professor Jiliang Tang.
I received my Bachelor of Engineering (B.Eng) from University of Science and Technology of China (USTC)
in 2018. And I obtained Master of Science (M.S.) degree from USTC in 2021 under the supervision of Professor
Enhong Chen.
Research Interests
Graph Neural Network
Deep Learning
News
2023.09, Our paper “Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation” got accepted by NeurIPS 2023.
2023.09, Our paper “Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All” got accepted by NeurIPS 2023.
2023.09, Our paper “Towards Label Position Bias in Graph Neural Networks” got accepted by NeurIPS 2023.
2023.07, I will serve as a PC member of AAAI'24, NeurIPS'24, WSDM'24, ICLR'24.
2023.05, One preprint “Towards Label Position Bias in Graph Neural Networks” is out!
2023.05, Our paper “Enhancing Graph Representations Learning with Decorrelated Propagation” got accepted by KDD 2023!
2023.05, Our tutorial “Large-Scale Graph Neural Networks: The Past and New Frontiers” got accepted by KDD 2023!
2023.04, our paper “LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation” got accepted by ICML 2023!
2023.04, our paper “Alternately Optimized Graph Neural Networks” got accepted by ICML 2023!
2023.02, Glad to join OIST, Japan as a Research Visiting Student this Summer!
2022.11, our team DSE-node won the second place in NeurIPS OGB-LSC competition - MAG240M track.!
2022.08, Glad to be a volunteer to meet new graduate students at MSU.
2022.08, Glad to be a volunteer in KDD 2022.
2022.07, I am invited to server as the PC member for AAAI 2023.
2022.06, I am invited to server as the PC member for WSDM 2023.
2021.11, Our team DANCE won first place in overall ranking of Predict Modality track in the NeurIPS competition - Multimodal Single-Cell Data Integration!
Publication
[* indicates equal contribution]
Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation
Wei Jin, Haitao Mao, Zheng Li, Haoming Jiang, Chen Luo, Hongzhi Wen, Haoyu Han, Hanqing Lu, Zhengyang Wang, Ruirui Li, Zhen Li, Monica Xiao Cheng, Rahul Goutam, Haiyang Zhang, Karthik Subbian, Suhang Wang, Yizhou Sun, Jiliang Tang, Bing Yin, Xianfeng Tang
NeurIPS 2023, Datasets and Benchmarks Track
Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All?
Haitao Mao, Zhikai Chen, Wei Jin, Haoyu Han, Yao Ma, Tong Zhao, Neil Shah, Jiliang Tang
NeurIPS 2023
Towards Label Position Bias in Graph Neural Networks
Haoyu Han, Xiaorui Liu, Feng Shi, MohamadAli Torkamani, Charu C. Aggarwal, Jiliang Tang
NeurIPS 2023
Enhancing Graph Representations Learning with Decorrelated Propagation
Hua Liu*, Haoyu Han*, Wei Jin, Xiaorui Liu, Hui Liu
KDD 2023
LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation
Rui Xue, Haoyu Han, MohamadAli Torkamani, Jian Pei, Xiaorui Liu
ICML 2023
Alternately Optimized Graph Neural Networks
Haoyu Han, Xiaorui Liu, Haitao Mao, MohamadAli Torkamani, Feng Shi, Victor Lee, Jiliang Tang
ICML 2023
Inverse APPNP: Solution for OGB-LSC 2022 MAG240M
Hang Li*, Haoyu Han*, Hongzhi Wen*, Wei Jin, Feng Shi, Victor Lee, Jiliang Tang
NeurIPS competition
STGCN: A Spatial-Temporal Aware Graph Learning Method for POI Recommendation
Haoyu Han, Mengdi Zhang, Min Hou, Fuzheng Zhang, Zhongyuan Wang, Hongwei Wang, Enhong Chen, Jianhui Ma, and Qi Liu
ICDM 2020
Constructing Educational Concept Maps with Multiple Relationships from Multi-source Data
Xiaoqing Huang, Qi Liu, Chao Wang, Haoyu Han, Jianhui Ma, Enhong Chen, Yu Su, and Shijin Wang
ICDM 2019
Preprint
Teaching
Teaching Assistant for CSE 881: Data Mining (Graduate Level) in MSU, 2023 Spring
Teaching Assistant for Analog and Digital Circuits in USTC, 2016 Fall
Intership
Research Intern, Machine Learning and Data Science Unit, OIST (Japan), 2023.05 - 2023.07
Research Intern, Machine Learning Group, TigerGraph, 2022 Summer
Research Intern, Knowledge Graph Group, Meituan-Dianping (Beijing), 2019.09 - 2021.03
Research Intern, NLP Group, ByteDance (Beijing), 2017.09 - 2018.07
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